Various types of methods and approaches are available to predict the intelligibility of speech
signals, but many of these still suffer from two major problems: first, their required prior …

The equalization cancellation model is often used to predict the binaural masking level
difference. Previously its application to speech in noise has required separate knowledge …

Speech Intelligibility Prediction (SIP) algorithms are becoming popular tools within the
development and operation of speech processing devices and algorithms. However, many …

Speech intelligibility prediction methods have recently gained popularity in the speech
processing community as supplements to time consuming and costly listening experiments …

Cubick and Dau [(2016). Acta Acust. Acust. 102, 547–557] showed that speech reception
thresholds (SRTs) in noise, obtained with normal-hearing listeners, were significantly higher …

Speech intelligibility models can provide insights regarding the auditory processes involved
in human speech perception and communication. One successful approach to modelling …

A binaural model implementing an internal noise to predict the effect of hearing impairment on
speech intelligibility in non-stationary noisesa) | The Journal of the Acoustical Society of …

In contrast to the well-known benefits for speech intelligibility, the advantage afforded by
binaural stimulus presentation for reducing listening effort has not been thoroughly …

In studies investigating binaural processing in human listeners, relatively long and task-
dependent time constants of a binaural window ranging from 10 ms to 250 ms have been …

This chapter reviews binaural models available to predict speech intelligibility for different
kinds of interference and in the presence of reverberation. A particular effort is made to …